gs-advanced-search

Google Scholar Advanced Search

Construct and execute a Google Scholar search using URL parameters based on the user's natural language description.

Arguments

$ARGUMENTS is a natural language description of the search criteria, e.g.:

• "Search for Einstein's papers on relativity after 2020"
• "Find reviews about CRISPR in Nature"
• "Search for exact phrase 'machine learning' in title only"

Step 1: Parse search criteria into URL parameters

Map the user's intent to Google Scholar URL parameters:

Construction examples:

• "Einstein 2020 年以后在 Nature 上的论文" → scholar?as_sauthors=Einstein&as_publication=Nature&as_ylo=2020&hl=en
• "标题包含 CRISPR 的论文" → scholar?q=CRISPR&as_occt=title&hl=en
• "精确搜索 'deep learning' 排除 review" → scholar?as_epq=deep+learning&as_eq=review&hl=en
• "搜索 immunotherapy 或 checkpoint 相关论文" → scholar?as_oq=immunotherapy+checkpoint&hl=en

Notes:

• When as_sauthors, as_publication, etc. are used, q can be omitted or used for additional keywords
• Always include hl=en for consistent results
• Use num=10 (default) to minimize CAPTCHA risk

Step 2: Navigate

Use mcp__chrome-devtools__navigate_page:

• url: https://scholar.google.com/scholar?{CONSTRUCTED_PARAMS}

Step 3: Extract results (evaluate_script)

Same extraction script as gs-search step 2:

async

Step 4: Report

Always show the constructed URL parameters so the user understands how the query was built.

Notes

• This skill uses 2 tool calls: navigate_page + evaluate_script
• Google Scholar does NOT support publication type filtering (review, clinical trial, etc.) — use keywords instead
• Impact factor is not available in Google Scholar — use citation count as a proxy
• The key difference from gs-search is URL parameter construction — this skill translates natural language to Google Scholar query parameters